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Next Generation Research Network Challenges

Rodney G. Wilson Sr. Director External Research rwilson@ciena.com

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Presentation covers…

Ciena’s research Agenda Retrospective: research networks and hero

experiments The Future Internet, now that the bandwidth

problem is solved, what about control?

1

2

3

CIENA

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Research and Experimental Networks

3

YOU ARE HERE: Learn by Doing

Beyond our product horizon; Participation in Research;

Learn by doing; Revenue Development

Pragmatists Early Majority

Innovators Pragmatists Late Majority

Laggards

Sunset, M/D Early Adopters

RGWILSON 2005

Source: Chasm Group

Time Ado

ptio

n

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GLOBAL LAMBDA INTERCHANGE FACILITY (GLIF)

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Selected R&E Ciena Customers

REANNZ (NZ)

STARlight

Netherlight

MANLAN SURFnet 7

CANARIE

Texas LEARN

redIRIS

HK JUCC

RISQ

MIT

Regional

National

GigaPop

VERN

HKOEP

MoscowLight

BCnet

OMNInet-II

JANET

KISTI

Internet2

Renater

ROedunet

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Retrospective

Advances in high performance networking achieved through R&E collaboration…

Some were long term joint activities Some were “proof of concept” over test bed environments Some were demonstration networks Some were product trials

…some worked well, some less well.

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Enabled first SC experimental Network Xnet

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Paradigm Shift in REN requirements

“I need content accessible anywhere

at anytime” “I need application-based performance”

“I need dynamic bandwidth allocation”

“I need new, differentiated

services” “I need to protect my

network from students”

“e.g. 99.9999% availability” “e.g. Latency-based

routing”

“e.g. Bandwith on demand” “e.g. Secure

out-of-band signaling”

“e.g. Optical VPN”

NREN’s No Longer Want Dumb Pipes… They Require A Lot More From Their Networks

* (source http://www.totaltele.com/view.aspx?ID=457404)

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Outcomes: Early EDCO test bed Distributed Service Plane Will large Carrier Optical Switch Scale to small metro footprints?

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DRAC worlds first… Control bandwidth across multiple domains Exploit scalability and inter-domain fault recovery Service Oriented Architecture on legacy control planes

Dynamic Resource Allocation Control

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The SC06 Demonstrator, sensor + cpu + data + net virtualization and control

DataCenter @Tampa

SC|2006

Korea

KREOnet

Netherlight

DRAC Controlled Lightpaths

Internal/External Sensor Webs

Amsterdam

Computation at the Right Place & Time! Virtual Machines migration, unbeknownst to applications

and clients, for data affinity, load balancing, or power management

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First 100Gb/s long haul WAN In the “production” Network

Proving 100G reality, reliability and availability

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CVS 2010: Research networks to improve the Human Condition

Chicago

Ottawa MEN LAB 10 100G Connectivity from Ciena Ottawa to Starlight Gigapop in Chicago. Ability to show simultaneous data-flows sourced from major collaborators.

MEN LAB 10 Tile Display

Canadian Brain Imaging Network CBRAIN portal & Metadata

Montreal

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Brian Browser

C-Brain Project

Consortium of Canadian Universities driving C-Brain

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Can you provide 40GE connectivity through 37 different spans over a distance of more than 3000km through 3 different national networks as a foreign (alien) wave through infrastructure from several different vendors ? ….at a major public event where everybody will see if (or if it won’t) work.

Alien Waves

TNC2011 Self inflicted research question

Content Source: Amsterdam

Alt Source: CERN

Termination1: Copenhagen

Alt Termination: Stockholm

Network Enabled Research, Protocol Latency Experiments by UvA

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Using 100G for Particle Physics research

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Content Source: Amsterdam

Destination Reykjavik

Content Source: CERN LHC

Wet: 2230 km E2E: 4028 km

TNC2012 self inflicted Research: Make 2300km of sea disappear and move Iceland closer to its Scandinavian neighbors. Then do something cool with it.

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Terena 2012 Ciena demonstrations & experiments

System A System B

WDM Network

Coherent Optical Distribution of L0-1-2 Content

From Amsterdam

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Intelligent Infrastructure Enabling Technologies

Wave

IP VPN

Internet Access

VoIP

IP VPN

Internet Access

VoIP

IP

Sub-Wave

IP

Intelligent Infrastructure

Core technologies of Intelligent Infrastructure

Packet-Optical Switching

Control Plane Coherent and DSP

Wave & Sub-Wave

Private Line

Cloud

Data Center Wave

Sub-Wave

W

S

W

S

Private Line

Cloud

Data Center

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Next Gen Modem Statement Of Work (SOW)

Next Gen Modem Technology Enables More Than Just 100G Transport

Core network 1000-2000Km, 3-5 50GHz ROADM,

(going to Grid-less), Good, un-

compensated, NDSF and NZDSF

Metro infrastructure

300-400Km, 10-16 100GHz ROADM (going to 50GHz), Challenged NDSF

MSO network edge Similar to metro but fewer ROADM (2),

already 50GHz

Submarine P2P to Trans-

Pacific, Compensated plant

Improve transport efficiencies Accommodate doubling of network traffic

Have a forward looking capability

High distortion mitigation For P2P submarine

For high PMD

Improve Spectral Efficiency (SE) New modulation schemes: QAM capable

Flexible grid operation: Pulse shaping

Improve operational economics New Ingress/Egress

Colour-less, Direction-less, Contention-less, Flexible grid

Enhancing the physical layer control plane Data mining

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Next Gen Modem required technology capability

SOW realization requires technology evolution in 3 axes

Bits

per

sym

bol

Symbols per second

freq

∆f Higher Baud Rate: Faster A/D More gates of DSP Faster analog electronics Higher Gain FEC

QAM : Higher res A/D and D/A conv.

More gates of DSP Higher gain FEC

Effective Super-Channel: Flexible WDM Coherent Frequency Selection

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WaveLogic 3 Transceiver

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The VPN evolution context

IP-VPN

~2000 • IP layer service • Cost effective at low

bandwidth, up to 10M • Branch interconnections

E-LAN, VPLS

O-VPN

2012+ • OTN, SONET/SDH,

control plane • Protocol transparent • Secure • OpenFlow • NNI • High capacity • Replace private networks

~2005-2007 • Ethernet layer service • Bandwidth up to 10G • Cost effective at 100M,

1G • Branch, data center

interconnection

10M 100G+

MPLS Backbone

Cos

t and

Lay

ers

Customer A

Customer B

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Network Vision Enabled By WaveLogicTM 3

Reset path configuration to match capacity and performance needs

Network Optimized By Intelligent Optics, More than just 100G transport!

Mine transmission data from line

Analyze data in real time determine path impairments

Route specific, link budget engineering

Capacity

Distance Latency

Control Plane

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In memoriam: Jan Willem Elion 1967 - 2012

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Thank you

For more information please contact: Rodney Wilson rwilson@ciena.com